TorchSpatiotemporal / tsl
tsl: a PyTorch library for processing spatiotemporal data.
☆328Updated last month
Alternatives and similar repositories for tsl:
Users that are interested in tsl are comparing it to the libraries listed below
- Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)☆163Updated 2 years ago
- Spatio-Temporal Prediction Paper List☆196Updated 2 weeks ago
- ☆118Updated last year
- Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"☆209Updated last year
- Awesome Time-Series and Spatio-Temporal Related☆97Updated last year
- [TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)☆752Updated 8 months ago
- Official repository for the paper "Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting" (ICML 2024)☆13Updated 9 months ago
- Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting☆548Updated 11 months ago
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆173Updated last year
- LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023)☆204Updated last year
- a Python toolbox loads 172 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domai…☆197Updated last week
- ☆83Updated last year
- Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…☆56Updated last year
- A curated list of state-of-the-art papers on deep learning for universal representations of time series.☆166Updated 4 months ago
- Official PyTorch implementation of TSDiff models presented in the NeurIPS 2023 paper "Predict, Refine, Synthesize: Self-Guiding Diffusion…☆189Updated last year
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆115Updated last year
- Awesome Deep Learning for Time-Series Imputation, including an unmissable paper list about applying neural networks to impute incomplete …☆305Updated last month
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆46Updated last year
- "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022☆149Updated 7 months ago
- Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.☆172Updated 3 years ago
- Adaptive Graph Convolutional Recurrent Network☆387Updated last year
- The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (S…☆402Updated 2 weeks ago
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆82Updated 2 years ago
- About code release of "Interpretable Weather Forecasting for Worldwide Stations with a Unified Deep Model", Nature Machine Intelligence, …☆174Updated 4 months ago
- Spatial-Temporal Graph ODE Neural Network☆109Updated 3 years ago
- STGM: Spatio-Temporal Graph Mixformer for Traffic Forecasting☆98Updated last year
- Pytorch implementation of Physics Guided Differential Equation Network for Air Quality Prediction (AirPhyNet).☆24Updated last year
- ☆853Updated last year
- PyTorch implementation of AirFormer, AAAI-23☆134Updated 2 years ago
- A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).☆321Updated last year